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Greetings!

My name is Martin Skarzynski.

I am a data📊 scientist👨‍🔬 and machine🤖 learning🧠 engineer👨‍💻 with a broad scientific background that ranges from biochemistry to epidemiology. I use the JavaScript🕸 Python🐍 and R®️ programming languages along with UNIX shell🐚 tools🛠 to extract and convey insights from data.

I write✏️ about topics related to data science, machine learning, and computer programming on my blog.

My professional information is summarized in my Résumé / Curriculum Vitae.

Technologies💻

Languages😛

I speak

  • English🇺🇸
  • French🇫🇷
  • Polish🇵🇱
  • Russian🇷🇺
  • Spanish🇪🇸

Education🎓

I hold

  • an MPH in Epidemiologic and Biostatistical Methods for Public Health and Clinical Research and a certificate in Data Science from Johns Hopkins University,
  • a PhD in Tumor Biology and a teaching certificate from Georgetown University,
  • an MS in Biotechnology from Jagiellonian University in Poland, and
  • a BA in Biology from St. Mary’s College of Maryland.

Mission🚀

My primary research interest is in understanding health risk factors by combining scientific expertise from diverse fields with machine intelligence.

I believe I am uniquely equipped to bridge the gaps between scientific disciplines and deliver on the promise of data science in health research.

My preferred tools are Python and R, open source programming languages kept on the cutting edge by their active and supportive communities.

Through research and teaching, I am constantly improving my ability to obtain, tidy, explore, transform, visualize, model, and communicate data.

I aim to utilize my technical skills and science background to become a leader among the next generation of multidisciplinary data scientists

Martin Laptev's Projects

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

solartimediff icon solartimediff

Tools and data to create a map of differences between solar time and standard time.

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